信息工程与人工智能学院知识库

This paper proposed a novel multi-stage multi-attribute decision-making method, in which the period weights and attribute weights are completely unknown, and attribute values are triangular fuzzy numbers. At first, the triangular fuzzy prospect decision matrices of different periods are constructed and the period weights optimization model is built according to the time degree and the prospect value deviation of alternatives in different periods. The attribute weights are obtained by the maximum deviation method. Then, MULTIMOORA is extended into the triangular fuzzy environment. Based on the new form of MULTIMOORA and dominance theory, the final ranking of alternatives can be got. Finally, a numerical example is presented to illustrate the feasibility and effectiveness of the proposed   method.